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Chanel Data Science and AI Engineer, SEAA
Designs and builds AI/ML models and agentic systems to automate workflows, enhance client engagement, and drive decision-making across retail, marketing, and operations using Python, LLMs, and cloud platforms.
Data Science and AI Engineer
Builds and deploys ML models, GenAI apps, and predictive systems using Python, LLMs, RAG, and cloud AI platforms to drive business growth and optimize operations.
Data Science and AI Engineer
Builds and deploys ML models, GenAI apps, and predictive systems using Python, LLMs, RAG, and cloud AI platforms to drive business growth and customer experience.
Data Engineer - KT
Design and build scalable cloud data pipelines and lakehouse architectures using Python, Spark, Kafka, and Airflow to power AI/ML workloads for a global fashion brand.
Senior Data Engineer – Singapore
Design and implement scalable cloud data architectures, lead Data Lakehouse development, and build ETL/ELT pipelines using Python, SQL, and Spark for a government-linked AI platform.
AWS Data Engineer - KT
Key Responsibilities Architecture & Design Design and architect the end-to-end AWS Data Lake and Lakehouse solution , including Landing Zone, Transformed Zone, and Curated/Consumption Zone layers Define and govern…
Data Engineer (AI, GenAI & MLOps Platforms) Consultant/ Senior Consultant
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Data Engineer (AWS)
About the Role We are looking for an AWS Data Engineer / Data Architect to design, build and maintain a modern AWS Data Lake and Lakehouse platform . You will work on data ingestion, transformation, storage, security…
Senior Data Engineer
Design and build scalable cloud data pipelines and lakehouse architectures using Python, Spark, Kafka, and AWS services to power AI/ML platforms.
Senior Data Engineer
Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing authority, using Python, Spark, Kafka, and AWS services.
Senior Data Engineer
Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing agency, using Python, Spark, Kafka, and AWS services.
Principal Data Engineer
Principal Data Engineer designs and builds cloud-native data pipelines and curated datasets on AWS and Snowflake to enable trusted, self-service analytics across business domains.
Senior Data Engineer
Design and build scalable data pipelines and cloud-based data platforms to power AI and analytics initiatives using AWS, Spark, and modern orchestration tools.
Data Engineer
Build and maintain data pipelines, ETL processes, and data warehouses using AWS services and Denodo for Tommy Hilfiger/Calvin Klein’s ecommerce platform.
Senior Data Engineer (AI)
Design and maintain scalable data pipelines and lakehouse architectures to power AI models and analytics dashboards, using AWS, Databricks, and Snowflake.
Enterprise Data & AI Platform Engineer
Engineer and maintain OCBC’s hybrid cloud data and AI platforms, including Cloudera CDP/CML, Hadoop, Spark, and AWS services like SageMaker and EKS.
Staff Backend Engineer, Cloud AI Infrastructure
Builds and scales the backend services for a high-performance generative AI platform, optimizing compute, storage, and networking for enterprise-grade ML workloads.
Data Engineer
Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.
Data Engineer (Cloud Data Platform Engineer)
Build and operate an AWS-based ML and monitoring platform using SageMaker, Prometheus, and Grafana, while automating cloud infrastructure with Terraform and CI/CD.
Senior Data Engineer (Public Sector)
Design and build scalable cloud data pipelines and lakehouse architectures for a government project, using Python, Spark, Kafka, and AWS services.